Data mining with decision trees: Theory and applications

Lior Rokach, Oded Maimon

Research output: Book/ReportBookpeer-review

851 Scopus citations


This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique.

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order to discover useful patterns. The area is of great importance because it enables modeling and knowledge extraction from the abundance of data available. Both theoreticians and practitioners are continually seeking techniques to make the process more efficient, cost-effective and accurate. Decision trees, originally implemented in decision theory and statistics, are highly effective tools in other areas such as data mining, text mining, information extraction, machine learning, and pattern recognition.
Original languageEnglish
Place of PublicationNew Jersey; London
PublisherWorld Scientific Publishing Co.
Number of pages264
Edition1st Edition
ISBN (Electronic)9789812771728, 9789814474184
ISBN (Print)9789812771711
StatePublished - Dec 2007

Publication series

NameSeries in machine perception and artificial intelligence
PublisherWorld Scientific
Volumev. 69

ASJC Scopus subject areas

  • Computer Science (all)


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